---22陈星任-地球信息科学学报.PDF

第19卷 第3 期 Vol. 19, No.3 2017 年3 月 Mar., 2017 引用格式：陈星任,韩阳,王家琪,等.基于偏振植被指数的植被—土壤混合像元室内实验研究[J].地球信息科学学报,2017,19(3):374-381. [ Chen X R, Han Y, Wang J Q, et al. 2017. Indoor experimental study on vegetation-soil mixed pixels based on polarization vegetation index. Journal of Geo-information Science, 19(2):374-381. ] DOI: 10.3724/SP.J. 1047.2017.00374 基于偏振植被指数的植被-土壤混合像元 室内实验研究 * 陈星任，韩 阳，王家琪，卢 珍 东北师范大学地理科学学院，长春 130024 Indoor Experimental Study on Vegetation-soil Mixed Pixels based on Polarization Vegetation Index * CHEN Xingren, HAN Yang , WANG Jiaqi and LU Zhen College of Geography Science, Northeast Normal University, Changchun 130024, China Abstract ：In remote sensing images, mixed pixel is a common phenomenon. The inversion of component compo- sition and proportion of mixed pixels has been a key and difficult point in remote sensing research. Besides, the study of the mixed pixel using polarization vegetable index has not been conducted in China, yet. This study ana- lyzed the hyperspectral characteristics of polarized reflections of vegetation-soil mixed pixels in different area ra- tios and discussed the hyperspectral characteristics under different conditions. We used the polarized reflection ratios to calculate the polarization vegetation indices of 12 types of 0 degree polarization and constructed the mathematical model of vegetation area ratio related to spectral characteristic parameters and vegetation index. The results show that vegetation area ratio and polarization angle have certain influence on hyper-spectrum of po- larization of mixed pixels. The correlation between polarized reflection ratio of 865nm and the proportion of the vegetatio